Reduced Order Model of Polarity Reversal Transient Electric Field of Converter Transformer Valve-side Bushing

被引:0
|
作者
Wang Q. [1 ]
Chu Z. [1 ]
Cheng J. [2 ]
Zhang H. [1 ]
Liu P. [1 ]
Peng Z. [1 ]
机构
[1] State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an
[2] Electric Power Research Institute of CSG, Guangzhou
来源
关键词
converter transformer valve-side bushing; fast calculation; model reduction; polarity reversal electric field; proper orthogonal decomposition;
D O I
10.13336/j.1003-6520.hve.20230165
中图分类号
学科分类号
摘要
New digital power system in which new energy is taken as the main body is increasingly constructed, thus it is an important development trend of the future digital power grid to realize the digital twin system of the main equipment. Using model reduction method to improve calculation efficiency and realize fast real-time simulation is an important basis for the application of digital twins in the multi physical field simulation of power equipment. In this paper, based on proper orthogonal decomposition(POD) method, a fast finite element calculation method for solving polarity reversal transient electric field of converter transformer valve-side bushings is proposed. The Galerkin finite element numerical calculation method is applied to establish the electric field stiffness matrix of converter transformer valve-side bushings. The combined algorithm of imposing the virtual homogeneous boundary condition and sparse matrix is proposed for setting the potential boundary of the aluminum foil plate of the core. The processed matrix is extracted with principal components through matrix singular value decomposition, and the electric field reduced order model for converter transformer valve-side bushings is constructed. The results show that the electric field distribution of the converter transformer valve-side bushing obtained by the model reduction method in this paper is similar to the results calculated by commercial software. At the same time, the time required to calculate the electric field distribution of the bushing using the lightweight model is greatly reduced, which verifies that the reduction method has high accuracy and calculation efficiency.The feasibility of fast calculation and real-time simulation of electric field of power equipment such as bushings using model reduction method is proved. © 2023 Science Press. All rights reserved.
引用
收藏
页码:2420 / 2431
页数:11
相关论文
共 26 条
  • [1] LIU Yunpeng, LIU Yijin, LU Fangcheng, Et al., Application prospect and key technology of digital twin in power transmission and transformation equipment, High Voltage Engineering, 48, 5, pp. 1621-1633, (2022)
  • [2] LIU Yadong, CHEN Si, CONG Zihan, Et al., Key technology and application prospect of digital twin in power equipment industry, High Voltage Engineering, 47, 5, pp. 1539-1554, (2021)
  • [3] ALAM K M, SADDIK A E., C2PS: a digital twin architecture reference model for the cloud-based cyber-physical systems, IEEE Access, 5, pp. 2050-2062, (2017)
  • [4] LEE J, AZAMFAR M, SINGH J, Et al., Integration of digital twin and deep learning in cyber-physical systems: towards smart manufacturing, IET Collaborative Intelligent Manufacturing, 2, 1, pp. 34-36, (2020)
  • [5] YANG Fan, WU Tao, LIAO Ruijin, Et al., Application and implementation method of digital twin in electric equipment, High Voltage Engineering, 47, 5, pp. 1505-1521, (2021)
  • [6] HESTHAVEN J S, ROZZA G, STAMM B., Certified reduced basis methods for parametrized partial differential equations, (2016)
  • [7] LIU Gang, RONG Shichang, WU Weige, Et al., Two-dimensional transient flow-thermal coupling field analysis of oil-immersed transformer windings based on hybrid finite element method and reduced-order technology, High Voltage Engineering, 48, 5, pp. 1695-1704, (2022)
  • [8] MILANI R, QUARTERONI A, ROZZA G., Reduced basis method for linear elasticity problems with many parameters, Computer Methods in Applied Mechanics and Engineering, 197, 51, pp. 4812-4829, (2008)
  • [9] LIU G R, LEE J H, PATERA A T, Et al., Inverse identification of thermal parameters using reduced-basis method, Computer Methods in Applied Mechanics and Engineering, 194, pp. 3090-3107, (2005)
  • [10] SHI Y T, CHEN X G, TAN Y Y, Et al., Reduced-basis boundary element method for fast electromagnetic field computation, Journal of the Optical Society of America A, 34, 12, pp. 2231-2242, (2017)